Software cost and effort estimation is one of the most significant tasks in the area of software
engineering. Research conducted in this field has been evolving with new techniques that …

Purpose Artificial intelligence (AI) is the most progressive commodity among current
information system applications. In-house development and sales of beneficial products are …

Data clustering is an important technique of data mining in which the objective is to partition
N data objects into K clusters that minimize the sum of intra‐cluster distances between each …

Analogy-based estimation (ABE) estimates the effort of the current project based on the
information of similar past projects. The solution function of ABE provides the final effort …

The product/software effort/cost-estimation techniques are applied to predict the effort
required to finish the project. An incorrect estimation leads to increase in deadline and …

One of the Software Development Life Cycle phases is planning the software project.
Estimating the software effort is another task in this project planning phase. Software effort …

Different project management processes have been used in software engineering to support
managers in keeping project costs manageable. One of the essential processes in software …

Data clustering is a prevalent problem that belongs to the data mining domain. It aims to
partition the given data objects into some specified number of clusters based on the sum of …

The universities in Bulgaria operate in a very dynamic environment. The Ministry of
Education and Science (MES) changes annually the requirements that their systems must …

Licensed standard software can be replicated millions of times at near zero cost for the
supplier and poses immense challenges for purchasing and cost managers. A model is …